Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns

Gradient‐based optimizer (GBO) is a metaphor‐free mathematic‐based algorithm proposed in recent years. Encouraged by the gradient‐based Newton's method, this algorithm combines with population‐based evolutionary methods. The disadvantage of the traditional GBO algorithm is that the global searc...

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Veröffentlicht in:	International journal of intelligent systems Jg. 37; H. 6; S. 3193 - 3254
Hauptverfasser:	Qiao, Zenglin, Shan, Weifeng, Jiang, Nan, Heidari, Ali Asghar, Chen, Huiling, Teng, Yuntian, Turabieh, Hamza, Mafarja, Majdi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York John Wiley & Sons, Inc 01.06.2022
Schlagworte:	Algorithms Artificial neural networks Back propagation networks Bones global optimization gradient‐based optimizer Intelligent systems kernel extreme learning machine Machine learning medical diagnosis Neural networks Newton methods Optimization parameter optimization Problem solving
ISSN:	0884-8173, 1098-111X
Online-Zugang:	Volltext
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